Hi,
I am interested in extraction of companies details using
SPARQL on
dbpedia dump (enwiki-20150205-pages-articles.xml.bz2)
i executed extraction-default-properties that works fine
but extraction-abstract-properties not giving any abstracted data
Please find the below expected query we are lo
On 2/8/15 11:28 AM, Kingsley Idehen wrote:
On 2/7/15 6:07 PM, Markus Kroetzsch wrote:
Hi Kingsley,
We are getting a bit off-topic here, but let me answer briefly ...
On 07.02.2015 21:36, Kingsley Idehen wrote:
...
Not it isn't duplication. Wikipedia HTTP URLs identify Wikipedia
documents. DB
See
https://github.com/dbpedia/extraction-framework/wiki/Extraction-Instructions#abstract-extraction
( via https://www.google.de/search?q=dbpedia%20abstract%20extraction )
On Fri, Feb 13, 2015 at 8:10 AM, Anupam Mishra
wrote:
> Thanks Jona,
>
> now its working I'm getting results in RDF format.
Forwarding to the mailing list
Forwarded Message
Subject: Re: [Dbpedia-gsoc] Contributing to DBpedia for GSOC 2015
Date: Fri, 13 Feb 2015 16:26:09 +0100
From: Marco Fossati
To: Akshita Jha
Hi Akshita,
have a look at this page:
https://github.com/dbpedia/extraction-framework/
- Our apologies if you receive multiple copies of this CFP -
Important Dates:
Paper Submission Deadline: 1 April, 2015 *NEW!!*
Notification Acceptance: 10 March, 2015
Camera-Ready Papers Due & Registration Deadline: 10 April 2015
Conference Date: 24-26 September, 2015
CALL FOR PAPERS
ICEMIS 20
Dear all,
the AKSW group [1] is happy to announce DL-Learner 1.0.
DL-Learner is a framework containing algorithms for supervised machine
learning in RDF and OWL. DL-Learner can use various RDF and OWL
serialization formats as well as SPARQL endpoints as input, can connect
to most popular OWL
